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Automatic extraction of abnormal regions from lung images

Lee, S. L. A. and Kouzani, A. Z. 2009, Automatic extraction of abnormal regions from lung images, in ISBB 2009 : Proceedings of the 2009 International Symposium on Bioelectronics and Bioinformatics, ISBB, Melbourne, Vic., pp. 80-83.

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Title Automatic extraction of abnormal regions from lung images
Author(s) Lee, S. L. A.
Kouzani, A. Z.
Conference name Bioelectronics and Bioinformatics. Symposium (2009 : Melbourme, Victoria)
Conference location Melbourne, Victoria
Conference dates 9-11 Dec. 2009
Title of proceedings ISBB 2009 : Proceedings of the 2009 International Symposium on Bioelectronics and Bioinformatics
Editor(s) [Unknown]
Publication date 2009
Conference series Bioelectronics and Bioinformatics Symposium
Start page 80
End page 83
Total pages 4
Publisher ISBB
Place of publication Melbourne, Vic.
Summary A system that could automatically extract abnormal lung regions may assist expert radiologists in verifying lung tissue abnormalities. This paper presents an automated lung nodule detection system consisting of five components: acquisition, pre-processing, background removal, detection, and false positives reduction. The system employs a combination of an ensemble classification and clustering methods. The performance of the developed system is compared against some existing counterparts. Based 011 the experimental results, the proposed system achieved a sensitivity of 100% and a false-positives/slice of 0.67 for 30 tested CT images.
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 920203 Diagnostic Methods
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2009, ISBB
Persistent URL http://hdl.handle.net/10536/DRO/DU:30029211

Document type: Conference Paper
Collections: School of Engineering
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